Results 211 to 220 of about 5,841 (261)

Incentive mechanisms for crowdsensing

2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2018
Crowd sensing is a mechanism that facilitates the company to accomplish by depurating the people. It provides the temporary and voluntary service supporter. However, crowdsensing experiences the problem due to user selection and payment determination. Thus problems deteriorate the incompleteness of task at present.
Razque, Abdul, Amsaad, Fathi, Jiazhi, Li, Huayue, Gu, Hassan, Abdalraouf   +4 more
openaire   +2 more sources

Online Incentive Mechanisms for Socially-Aware and Socially-Unaware Mobile Crowdsensing

IEEE Transactions on Mobile Computing
Mobile crowdsensing (MCS) has been a promising paradigm for gathering sensing data from surrounding environment by leveraging smart devices carried by mobile users and also their subjective initiatives.
Guo Ji, Baoxian Zhang, Guo Zhang, Cheng Li   +3 more
semanticscholar   +1 more source

A Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing Based on Blockchain

IEEE Transactions on Dependable and Secure Computing
Mobile crowdsensing (MCS) is an efficient approach for large-scale sensing data collection by leveraging the mobility and capability of mobile devices.
Fei Tong, Yuanhang Zhou, Kaiming Wang, Guang Cheng, Jianyu Niu, Shibo He   +5 more
semanticscholar   +1 more source

Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing

IEEE Transactions on Mobile Computing
Mobile CrowdSensing (MCS) is a widely adopted approach that involves engaging mobile users to collaboratively perform diverse sensing tasks. In Sparse CrowdSensing, the completion of data from partially-sensed sources plays a pivotal role in urban ...
E. Wang, Mijia Zhang, Boai Yang, Yongjian Yang, Jie Wu   +4 more
semanticscholar   +1 more source

Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing

IEEE Internet of Things Journal
Due to the swift advancement of edge computing and mobile crowdsensing (MCS), edge-assisted MCS (EAMCS) has emerged as a promising paradigm, leveraging sensor-embedded mobile devices for the collection and sharing of environmental data.
Xiaolong Liu, Honglong Chen, Yuping Liu, Wentao Wei, Huansheng Xue, Feng Xia   +5 more
semanticscholar   +1 more source

QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning

IEEE Journal on Selected Areas in Communications
Metaverse is expected to provide mobile users with emerging applications both in regular situation like intelligent transportation services and in emergencies like wireless search and disaster response.
Yuxiao Ye, Hao Wang, Chi Harold Liu, Zipeng Dai, Guozheng Li, Guoren Wang, Jian Tang   +6 more
semanticscholar   +1 more source

Research Progress on Incentive Mechanisms in Mobile Crowdsensing

IEEE Internet of Things Journal
With the continuous improvement of the sensing, transmission, storage, and computing capabilities of mobile devices, they have become important tools for perceiving the physical environment and social phenomena.
Enhui Wu, Zhenlong Peng
semanticscholar   +1 more source

A Reinforcement Learning-Based Incentive Mechanism for Task Allocation Under Spatiotemporal Crowdsensing

IEEE Transactions on Computational Social Systems
With the development of the Industrial Internet of Things (IoT), the work of large-scale data collection makes spatiotemporal crowdsensing (SC) play an important role.
Kaige Jiang, Yingjie Wang, Haipeng Wang, Zhaowei Liu, Qilong Han, Ao Zhou, Chaocan Xiang, Z. Cai   +7 more
semanticscholar   +1 more source

Secure Approximate Deduplication for Forensic Images in Crowdsensing Vehicular Networks

IEEE Transactions on Vehicular Technology
The convergence of mobile crowdsensing and the Internet of Vehicles (IoV) has advanced image forensics in intelligent transportation systems. However, the large influx of homogenized sensing images during evidence collection causes a massive waste of ...
Yating Li, Liang Xue, Le Wang, Jingwei Liu, Xiaodong Lin   +4 more
semanticscholar   +1 more source

Footstone of Metaverse: A Timely and Secure Crowdsensing

IEEE Network
Recently, the metaverse has been a hot research topic that fuses multiple cutting-edge techniques, including virtual reality (VR), augmented reality (AR), artificial intelligence (AI), Internet of Things (IoT), and 5th generation (5G) networks. Supported
Weizheng Wang, Yaoqi Yang, Zehui Xiong, Dusist Niyato   +3 more
semanticscholar   +1 more source